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Morphological Analysis
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Morphological Analysis is a central task in language processing that can take a word as input and detect the various morphological entities in the word and provide a morphological representation of it.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/shigashiyama/jlexnorm
공식 코드User-Generated Text Corpus for Evaluating Japanese Morphological Analysis and Lexical Normalization
https://github.com/shuojiangcn/autotriz-detc24
공식 코드AutoTRIZ: Automating Engineering Innovation with TRIZ and Large Language Models
https://github.com/sinaahmadi/kurdishhunspell
공식 코드Hunspell for Sorani Kurdish Spell Checking and Morphological Analysis
https://github.com/taeheejeon22/morphsubdecomp-korean
공식 코드https://github.com/ufal/evalatin2024-latinpipe
공식 코드ÚFAL LatinPipe at EvaLatin 2024: Morphosyntactic Analysis of Latin
https://github.com/ufal/legros
공식 코드https://github.com/ufal/legros-paper
공식 코드https://github.com/zibamira/CTCoral_CoDA
공식 코드https://huggingface.co/disk0dancer/ruBert-base-finetuned-pos
공식 코드POS-tagging to highlight the skeletal structure of sentences
https://github.com/RishabhPatil/GalaxyMorphologyPrediction
Rotation-invariant convolutional neural networks for galaxy morphology prediction
https://github.com/gabrielStanovsky/mt_gender
https://github.com/hbahadirsahin/text_categorization
https://github.com/michellekappl/mt_gender_german
https://github.com/mikekestemont/anthem
https://github.com/nourmorsy/PremioLLM
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models
https://github.com/sainimohit23/hindi-stemmer
https://github.com/shreyanse081/Hindi_NER_monikkinom
Towards Deep Learning in Hindi NER: An approach to tackle the Labelled Data Scarcity
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.